Transforming oral cancer care: The promise of deep learning in diagnosis
The diagnosis and treatment of oral cancer present significant challenges, including delayed diagnosis at advanced stages and limited access to healthcare. Deep learning (DL), a subset of artificial intelligence, holds promise for transforming medical image analysis and predictive analytics. In this...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Oral Oncology Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772906024003285 |
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| author | Durairaj Varalakshmi Mayakrishnan Tharaheswari Thirunavukarasou Anand Konda Mani Saravanan |
| author_facet | Durairaj Varalakshmi Mayakrishnan Tharaheswari Thirunavukarasou Anand Konda Mani Saravanan |
| author_sort | Durairaj Varalakshmi |
| collection | DOAJ |
| description | The diagnosis and treatment of oral cancer present significant challenges, including delayed diagnosis at advanced stages and limited access to healthcare. Deep learning (DL), a subset of artificial intelligence, holds promise for transforming medical image analysis and predictive analytics. In this perspective, we examine the applications of DL in oral cancer. Specifically, we explore the efficacy of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in diagnosing and predicting the prognosis of oral cancer in the last five years. Additionally, we underscore the importance of oral cancer databases in advancing research and clinical practice. However, DL methods face constraints related to input variability and model interpretability. Addressing these issues is crucial to harnessing the full potential of DL in oral cancer treatment. In summary, this article underscores the innovative contributions of DL in revolutionizing oral cancer management and advocating for precision medicine in oncology. |
| format | Article |
| id | doaj-art-515510dea679492699449ab5323a052d |
| institution | Kabale University |
| issn | 2772-9060 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Oral Oncology Reports |
| spelling | doaj-art-515510dea679492699449ab5323a052d2025-01-09T06:16:28ZengElsevierOral Oncology Reports2772-90602024-06-0110100482Transforming oral cancer care: The promise of deep learning in diagnosisDurairaj Varalakshmi0Mayakrishnan Tharaheswari1Thirunavukarasou Anand2Konda Mani Saravanan3Department of Biochemistry, Pondicherry University Community College, Pondicherry University, Pondicherry, 605008, IndiaDepartment of Biochemistry, Pondicherry University Community College, Pondicherry University, Pondicherry, 605008, IndiaSRIIC Lab, Central Research Facility, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, Tamil Nadu, IndiaDepartment of Biotechnology, Bharath Institute of Higher Education and Research, Chennai, 600073, Tamil Nadu, India; Corresponding author.The diagnosis and treatment of oral cancer present significant challenges, including delayed diagnosis at advanced stages and limited access to healthcare. Deep learning (DL), a subset of artificial intelligence, holds promise for transforming medical image analysis and predictive analytics. In this perspective, we examine the applications of DL in oral cancer. Specifically, we explore the efficacy of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in diagnosing and predicting the prognosis of oral cancer in the last five years. Additionally, we underscore the importance of oral cancer databases in advancing research and clinical practice. However, DL methods face constraints related to input variability and model interpretability. Addressing these issues is crucial to harnessing the full potential of DL in oral cancer treatment. In summary, this article underscores the innovative contributions of DL in revolutionizing oral cancer management and advocating for precision medicine in oncology.http://www.sciencedirect.com/science/article/pii/S2772906024003285Oral cancerDeep learningDiagnosisPrognosisTransformative |
| spellingShingle | Durairaj Varalakshmi Mayakrishnan Tharaheswari Thirunavukarasou Anand Konda Mani Saravanan Transforming oral cancer care: The promise of deep learning in diagnosis Oral Oncology Reports Oral cancer Deep learning Diagnosis Prognosis Transformative |
| title | Transforming oral cancer care: The promise of deep learning in diagnosis |
| title_full | Transforming oral cancer care: The promise of deep learning in diagnosis |
| title_fullStr | Transforming oral cancer care: The promise of deep learning in diagnosis |
| title_full_unstemmed | Transforming oral cancer care: The promise of deep learning in diagnosis |
| title_short | Transforming oral cancer care: The promise of deep learning in diagnosis |
| title_sort | transforming oral cancer care the promise of deep learning in diagnosis |
| topic | Oral cancer Deep learning Diagnosis Prognosis Transformative |
| url | http://www.sciencedirect.com/science/article/pii/S2772906024003285 |
| work_keys_str_mv | AT durairajvaralakshmi transformingoralcancercarethepromiseofdeeplearningindiagnosis AT mayakrishnantharaheswari transformingoralcancercarethepromiseofdeeplearningindiagnosis AT thirunavukarasouanand transformingoralcancercarethepromiseofdeeplearningindiagnosis AT kondamanisaravanan transformingoralcancercarethepromiseofdeeplearningindiagnosis |